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Home/Authors/Yuchen Li

Yuchen Li

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

AI×4ML×2Crypto×1

Frequent co-authors

Yuchen Liu2×
Shizuo Tian1×
Xiaohong Weng1×
Rui Kong1×
Yuxuan Chen1×
Guohong Liu1×

Research Timeline

2026
AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning

The paper proposes AdaBFL, a multi-layer defensive adaptive aggregation method that enhances Byzantine-robust federated learning by adaptively adjusting defense weights to counter complex poisoning attacks.

Masked Diffusion Modeling for Anomaly Detection

The paper proposes MaskDiff-AD, a forward-only masked diffusion model trained on nominal data to achieve state-of-the-art anomaly detection across various categorical, mixed-type, and text datasets.

Beyond Trajectory Rewards: Step-level Credit Assignment for Agentic Search via Graph Modeling

The paper introduces Graph-Distance Contribution Reward (GDCR) and Step Advantage Policy Optimization (SAPO) to provide fine-grained, step-level credit assignment for agentic search by modeling world knowledge as a latent graph.

Joint Agent Memory and Exploration Learning via Novelty Signals

The JAMEL framework addresses the challenge of effective exploration in open-ended environments by jointly training agent memory and exploration policies using natural, novelty-driven signals.

Highlighted terms show continued research focus across papers

Papers

cs.AIRecentJun 1, 2026

Joint Agent Memory and Exploration Learning via Novelty Signals

Shizuo Tian, Xiaohong Weng, Rui Kong, Yuxuan Chen +8 more

The JAMEL framework addresses the challenge of effective exploration in open-ended environments by jointly training agent memory and exploration policies using natural, novelty-driven signals.

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cs.LGcs.AIRecentMay 28, 2026

Masked Diffusion Modeling for Anomaly Detection

Lixing Zhang, Yuchen Liang, Liyan Xie

The paper proposes MaskDiff-AD, a forward-only masked diffusion model trained on nominal data to achieve state-of-the-art anomaly detection across various categorical, mixed-type, and text datasets.

View →
cs.AIRecentMay 28, 2026

Beyond Trajectory Rewards: Step-level Credit Assignment for Agentic Search via Graph Modeling

Yuchen Liu, Yingjie Feng, Lixiong Qin, Jiasi Chen +4 more

The paper introduces Graph-Distance Contribution Reward (GDCR) and Step Advantage Policy Optimization (SAPO) to provide fine-grained, step-level credit assignment for agentic search by modeling world…

View →
cs.LGcs.AIcs.CRRecentApr 30, 2026

AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning

Zehui Tang, Yuchen Liu, Feihu Huang

The paper proposes AdaBFL, a multi-layer defensive adaptive aggregation method that enhances Byzantine-robust federated learning by adaptively adjusting defense weights to counter complex poisoning at…

View →